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  • Developing metrics that could signal significant changes in adaptive learning AI algorithms

Developing metrics that could signal significant changes in adaptive learning AI algorithms

Funder: Department for Business Energy & Industrial Strategy
Duration: September 2021 - March 2022

People

Name Telephone Email Office
Dr Allan Tucker Dr Allan Tucker
Reader
(Principal investigator)
T: +44 (0)1895 266933
E: allan.tucker@brunel.ac.uk
 +44 (0)1895 266933 allan.tucker@brunel.ac.uk Wilfred Brown Building 218

Outputs

Rotalinti, Y., Tucker, A., Lonergan, M., Myles, P. and Branson, R. (2022) 'Detecting Drift in Healthcare AI Models Based on Data Availability'.Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2022. Grenoble, France. 19 - 23 September. Springer Nature Switzerland. pp. 243 - 258. ISSN: 1865-0929

Conference paper